Remote oil spill detection and monitoring beneath sea ice

Polak, Adam and Marshall, Stephen and Ren, Jinchang and Hwang, Byongjun (Phil) and Hagan, Bernard and Stothard, David J. M. (2016) Remote oil spill detection and monitoring beneath sea ice. In: The 2016 European Space Agency Living Planet Symposium, 2016-05-09 - 2016-05-13.

[img]
Preview
 Text (Polak-etal-LPS-2016-Paper-Remote-oil-spill-detection-and-monitoring-beneath)
Polak_etal_LPS_2016_Paper_Remote_oil_spill_detection_and_monitoring_beneath.pdf
Accepted Author Manuscript
Download (466kB)| Preview

    Abstract

    The spillage of oil in Polar Regions is particularly serious due to the threat to the environment and the difficulties in detecting and tracking the full extent of the oil seepage beneath the sea ice. Development of fast and reliable sensing techniques is highly desirable. In this paper hyperspectral imaging combined with signal processing and classification techniques are proposed as a potential tool to detect the presence of oil beneath the sea ice. A small sample, lab based experiment, serving as a proof of concept, resulted in the successful identification of oil presence beneath the thin ice layer as opposed to the other sample with ice only. The paper demonstrates the results of this experiment that granted a financial support to execute full feasibility study of this technology for oil spill detection beneath the sea ice.

    Author(s):Polak, Adam ORCID logoORCID: https://orcid.org/0000-0001-6550-7716, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628, Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Hwang, Byongjun (Phil), Hagan, Bernard and Stothard, David J. M.
    Item type:Conference or Workshop Item(Paper)
    ID code:57261
    Keywords:oil spill, sea ice, polar regions, image processing, classification, data visualisation, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Technology and Innovation Centre > Sensors and Asset Management
    Depositing user: Pure Administrator
    Date deposited:04 Aug 2016 09:45
    Last modified:10 Dec 2019 09:27
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/57261
    Export data:
    CORE (COnnecting REpositories)